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Enables AI models to interact with SourceSync.ai's knowledge management platform through a standardized interface.
Facilitates searching, analyzing, and retrieving medical literature from the PubMed database.
Retrieves health data from Garmin China user accounts for interaction and analysis with AI.
Connects the YouTube Data API v3 to an MCP server using MuleSoft, enabling AI agents to query YouTube content.
Externalizes LLM memory into a persistent, searchable knowledge graph, enhancing AI systems with advanced semantic and temporal intelligence.
Offers a collection of example server implementations for Model Context Protocol development, featuring real-time weather alerts and web search integration.
Integrates Pexels' high-quality, royalty-free photography directly into ChatGPT conversations.
Enables AI assistants to directly read, search, create, and manage Xiaomi cloud notes through a Model Context Protocol (MCP) server implementation.
Integrate AI capabilities and bot functionality with Telegram, exposing messaging tools via the Model Context Protocol.
Empowers AI assistants to act as HR co-pilots by managing employee leave requests, validating policies, and providing instant approvals with auditable trails.
Integrates the FinancialData.Net API with AI agents like Claude and Cursor to enable financial analysis capabilities.
Integrate with Google Sheets to read, write, and format spreadsheet data efficiently.
Establishes a Model Context Protocol (MCP) server to integrate Volkswagen Group vehicles with AI assistants.
Provides comprehensive management capabilities for workspaces, chats, documents, and system configurations within an AnythingLLM instance.
Exposes Montevideo's public transit system (STM) data to large language models for querying bus stops, schedules, routes, and real-time arrivals.
Securely expose Dataiku agent tools to Model Context Protocol clients like Claude, ChatGPT, and VS Code via OAuth 2.1.
Connect AI agents to a network of authoritative knowledge sources for Q&A and real-time information exchange.
Exposes a pluggable, observable, and modular Retrieval Augmented Generation (RAG) service framework through the Model Context Protocol for direct invocation by AI assistants.
Transforms any OpenAPI or Swagger specification into a runnable MCP server with a single command, making existing REST APIs instantly callable by AI tools.
Records, verifies, and exports tamper-proof cryptographic proof chains for AI decisions.
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